CAJ | 학술논문

根据惯性传感器信号处理特点，研究其基于随机共振的信号实时处理方法。首先，从实时性的角度出发，确定随机共振数值算法———龙格库塔法，并对其进行相应改进，实现实时处理。然后，研究单稳系统中各个参数对信号恢复结果的影响，确定系统处理的较佳参数。最终的仿真结果表明，静态信号的零漂值得到了较大改善，而动态信号的信噪比最大可提高约20 dB。同时，为了进一步验证算法，在数字信号处理硬件平台上实现算法，采样频率为5000 Hz，结果完全能够满足惯性传感器信号处理的要求。因此，所提算法能够有效进行惯性传感器信号实时处理，为随机共振理论在惯性传感器信号处理中的应用提供了重要参考。
근거관성전감기신호처리특점，연구기기우수궤공진적신호실시처리방법。수선，종실시성적각도출발，학정수궤공진수치산법———룡격고탑법，병대기진행상응개진，실현실시처리。연후，연구단은계통중각개삼수대신호회복결과적영향，학정계통처리적교가삼수。최종적방진결과표명，정태신호적령표치득도료교대개선，이동태신호적신조비최대가제고약20 dB。동시，위료진일보험증산법，재수자신호처리경건평태상실현산법，채양빈솔위5000 Hz，결과완전능구만족관성전감기신호처리적요구。인차，소제산법능구유효진행관성전감기신호실시처리，위수궤공진이론재관성전감기신호처리중적응용제공료중요삼고。
The inertial sensor signals’real-time processing method based on stochastic resonance is studied. First,according to the real-time property,the numerical algorithm of the Runge-Kutta method and the corre-sponding improvements are studied and determined,which solves the problem of real-time processing.And then the system parameters’influence on the recovery of the signals is studied and finally the better parameters of the system are determined.The simulation results show that the static signal zero drift value is greatly improved, and the dynamic signal’s signal-to-noise ratio is increased by about 20 dB.At the same time,in order to further validate the algorithm,the real-time processing is implemented by digital signal processor at the sampling fre-quency 5 000 Hz and the results verify that inertial sensor signal real-time processing requirements can be met. The proposed algorithm can effectively meet real-time processing of inertial sensor signal’s,thereby providing an important reference for the application of stochastic resonance theory in inertial sensor signal processing.